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Overview
Provide a structured business development operating system for an AI agent, covering partner outreach, market and competitor research, proposal generation, and pipeline/strategy management.
Key Advantages
1.End-to-end BD workflow coverage: outreach, research, qualification, proposals, pipeline, and strategic planning in one skill.
2.Rich, ready-to-use templates (emails, agendas, research reports, proposals, SWOT, decision frameworks) that an agent can fill and adapt quickly.
3.Clear qualification and scoring frameworks (e.g., PARTNER score) to help the agent prioritize opportunities objectively.
4.Lightweight CLI scripts (bd-init.sh, partner-research.sh, pipeline-report.sh) to set up workspaces and generate reports, improving repeatability.
5.Strong guidance on best practices and common mistakes, helping the agent behave more like a seasoned BD professional instead of a generic assistant.
Use Cases
- An AI BD copilot that researches a potential partner, generates a structured partner profile with a PARTNER score, and drafts a tailored outreach sequence.
- Using the market research and competitive templates to have an agent assemble a BD brief for a new geography or vertical, including TAM/SAM/SOM and key players.
- Having the agent maintain and summarize a BD pipeline each week or quarter using the pipeline-report.sh script and the provided stage framework.
- Generating first-draft partnership or co-marketing proposals where the agent fills in the structured proposal template based on prior research and internal inputs.
- Supporting strategic decisions (e.g., which partner or market to prioritize) by having the agent run SWOT and decision-framework analyses with weighted criteria.
Evaluation Scores
8.1
/ 10
Reliability
7.8
Functionality
8.5
Usability
9.2
Safety
7.2
Performance
7.5
Compatibility
8.3
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.1/103/19/2026▼
OS: darwin-arm64LLM: google/gemini-3-flash-preview
**Quick judgment:** Strong, high-utility business development skill that turns an agent into a structured BD operator, especially good for B2B partnerships, market research, and proposal drafting. It’s particularly valuable where you want process discipline and high-quality written outputs without building a full custom BD system.
**Key strengths:** Comprehensive templates and frameworks across the BD lifecycle, clear qualification and pipeline stages, and simple scripts to standardize workflows. It should work well as the “BD brain” for an OpenClaw agent that can browse, summarize, and write.
**Main risks / limitations:**
- Actual research quality and accuracy depend on the underlying model and any external data tools; the skill itself doesn’t guarantee data freshness or verification.
- No built-in CRM or email system integration is described, so teams needing deep integration and automated compliance (e.g., opt-out handling, CAN-SPAM/GDPR workflows) will need extra tooling.
- Heavy reliance on templates can lead to generic-feeling outreach if users don’t provide sufficient context or customization.
**Best-fit scenarios:**
- Early-stage or growth-stage teams using an OpenClaw agent as a BD copilot for partnership discovery, qualification, and first-draft proposals.
- Solo operators or small BD teams wanting a repeatable process and documentation standard without adopting a full enterprise BD stack.
- Internal strategy or GTM teams needing fast, structured market/competitive briefs and decision support around which partners or markets to prioritize.
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